Needs and expectations of DataONE tools:
Gretta wants data to inform her own research, e.g., on similar populations and regions or complementary data on the area she studies. She wants to stay involved with zoology community by contributing her findings. She hopes to find relevant data to inform discussions of the County Planning Committee, but feels that digested data would be more useful for them.
After initially learning about DataONE as a place to look for data, she found the educational materials on the DataONE website and is interested in using DataONE data for class exercises. For example, the ecology course could be enhanced by having students look at data on habitats and species distributions. It would certainly help to have well-designed class modules: she has developed a lot of her own materials, but it’s hard to make time for such innovations given the other demands of her busy day.
Gretta is currently thinking of redesigning her research to collect data more systematically across a wider area and over time, rather than her current approach of addressing a project at a time. This approach would require more effort but would produce a longitudinal dataset that she could contribute to a DataONE member node. However, her senior colleagues have made it clear that a dataset does not count as a publication. Before she can devote effort to the redesign and increased data collection, she will need some assurance that she and her students will receive appropriate credit for the work, at least a publication about the data and ideally joint authorship on papers that use her data.
Intellectual and physical skills that can be applied:
Gretta’s graduate and postdoc work included training in data collection and analysis, but not in data management more generally. She is skilled with general data collection approaches but mostly relies on Excel to store her data. She also relies on students to do much of her data entry and Excel works well for that purpose.
Technical support available:
Kendall College has an IT staff that can handle routine issues and Gretta is provided with a PC and routine software. However, she does not have further support with the technology. She has a colleague in the department who helps her with statistical analyses.
Personal biases about data sharing and reuse (and data management more generally):
Gretta observed the value of shared data in her graduate education and postdoc work. She appreciates the ability to access others’ data and would like the opportunity to reciprocate, but is not sure that she can justify the time and energy it would take or that it would be rewarded.